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Tom Wang
Tom Wang

Posted on • Originally published at tomcn.uk

AI Agents Are Now Making Real Payments — What Developers Need to Build

The First AI Agent Payment in Europe Just Happened

On 2 March 2026, Banco Santander and Mastercard completed Europe's first live end-to-end payment executed entirely by an AI agent. Not a demo. Not a sandbox. A real transaction, processed through Santander's regulated payment infrastructure, with real money moving between real accounts.

For fintech developers and AI agent engineers building payment systems, this milestone changes the conversation. Agentic commerce — where AI agents autonomously initiate, authorise, and complete payments on behalf of users — has moved from concept to production reality.

And the scale is staggering: AI agents already influenced $262 billion in holiday sales in 2025. Visa predicts millions of consumers will use AI agents to complete purchases by the 2026 holiday season. Both Mastercard and Visa have live agentic payment pilots running across Europe, Latin America, and Asia Pacific.

How Mastercard Agent Pay Works

The technical architecture behind agentic payments is what makes this interesting for payment developers. Mastercard's Agent Pay, launched in April 2025, provides the infrastructure for AI agents to transact on payment networks. Here's the flow:

1. Agent Registration and Authentication

Before an AI agent can make a payment, it must be registered and authenticated on the Mastercard network. This is analogous to merchant onboarding — the agent gets a verified identity, a set of permitted operations, and transaction limits defined by the cardholder.

2. Consumer Consent and Limits

The cardholder sets predefined limits: maximum transaction amount, permitted merchant categories, spending caps per day or month. The agent can only operate within these boundaries. Think of it as a programmable spending policy — the kind of system that payment developers and crypto developers building smart contract wallets have been designing for years.

3. Transaction Execution

The AI agent — in Santander's case, built with Microsoft Azure OpenAI Service and Copilot Studio, orchestrated by PayOS — identifies a purchase need, selects the merchant, and initiates payment through Mastercard's network. The transaction flows through existing card rails, meaning the entire settlement infrastructure already works.

4. Verifiable Intent

This is the genuinely innovative piece. Mastercard and Google jointly introduced Verifiable Intent — an open-source framework that creates a cryptographic audit trail proving what the consumer authorised and whether the agent followed instructions exactly.

The specification builds on established standards from FIDO Alliance, EMVCo, IETF, and W3C. It employs Selective Disclosure, sharing only the minimum necessary information with each transaction party. The framework interoperates with Google's Agent Payments Protocol (AP2) and the Universal Commerce Protocol (UCP).


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About the Author

I'm Tom Wang, a Founding Engineer at Radom building crypto payment infrastructure, Open Banking integrations, and cross-border payout systems with Rust and Go. Based in London, UK.

Currently open to new opportunities in fintech, crypto payments, and AI agent engineering.

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